In order to address these challenges, we propose a convolutional encoder-decoder model with deep learning for document image binarization in this paper. In the proposed method, mid-level document ...

To this end, we propose a dual convolutional LSTM (ConvLSTM) network to tackle this problem. Our model consists of an encoder network and a decoder network, where ConvLSTM is used in both encoder and ...

This article examines recent data on compression efficiency and data usage for hardware and software decoding and explores how this data shapes the value proposition for publishers opting for software ...